Extract image sections by description
Complete depth for images using sparse depth maps
Gaze Target Estimation
Generate depth map from images
Decode images to teacher model outputs
Analyze layout and detect elements in documents
Detect if an image is AI-generated
Classify X-ray scans for TB
Identify characters from Peaky Blinders
Display a heat map on an interactive map
Generate 3D depth map visualization from an image
Use hand gestures to type on a virtual keyboard
FitDiT is a high-fidelity virtual try-on model.
CLIPnCROP is an AI-powered image processing tool designed to extract specific sections of an image based on text descriptions. It leverages advanced computer vision and natural language processing technologies to accurately identify and crop the desired parts of an image. This makes it a versatile tool for users looking to precisely edit or analyze image content without manual intervention.
What formats does CLIPnCROP support?
CLIPnCROP supports a wide range of image formats, including PNG, JPEG, BMP, and TIFF.
How accurate is the AI in extracting described sections?
The AI is highly accurate, but results may vary depending on the clarity and specificity of your description.
Can I process multiple images at the same time?
Yes, CLIPnCROP offers batch processing, allowing you to handle multiple images simultaneously.